AI-Driven Senior Data Science Leader for Healthcare Innovations

Há 6 dias

Lisboa, Lisboa, Portugal Veeva Systems, Inc. Tempo inteiro

Veeva Systems, Inc. is a pioneering force in industry cloud solutions, empowering life sciences companies to accelerate therapies to patients.

We're a fast-growing SaaS company with immense growth potential ahead. Our values are: Doing the Right Thing, Customer Success, Employee Success, and Speed. As a public benefit corporation, we balance the interests of customers, employees, society, and investors.

The Role

Our AI team supports the entire suite of link data products, driven by principles of agility and quality in developing cutting-edge ML models. These models are trained on data captured by over 2000 subject-matter experts, complementing our curational pipeline and scaling solutions to different regions, languages, and therapeutic areas.

Your role will involve developing LLM-based agents that search and browse the web, extracting detailed information about Key Opinion Leaders in the healthcare sector. You'll craft an end-to-end human-in-the-loop pipeline to sift through large arrays of unstructured medical documents. These agents will perform semantic searches and reasoning to provide precise answers to predefined queries concerning KOL-related data across various languages and disciplines.

You will build, scale, and optimize agents and pipelines for information extraction and question-answering, ensuring they are production-ready and robust. Your focus will be on building highly scalable, efficient systems while collaborating with Data Engineers and Data Scientists. You will take ownership of the entire deployment process, ensuring the models are integrated into production environments with minimal latency and high performance.

What You'll Do

- Develop and manage ML infrastructures and CI/CD pipelines to support multiple data products.

- Build fully automated, scalable, cost-effective, and fault-tolerant solutions in AWS to process billions of records.

- Provide engineering mentorship and guidance to data scientists.

- Develop LLM-based agents capable of performing function calls and utilizing tools such as browsers for enhanced data interaction and retrieval.

- Experience with Reinforcement Learning from Human Feedback (RLHF) methods such as Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO) for training LLMs based on human preferences.

- Collaborate with data scientists, data engineers, and product/operation teams.

Requirements

- Agile mindset.

- Professional in ML operationalization, including CI/CD pipelines and workflow/model management, stacks such as Airflow and MLflow.

- Professional in distributed computing platforms (Ray and Spark) as well as Kubernetes for inference.

- Solid understanding and experience in deep learning frameworks (e.g., PyTorch, JAX,...).

- Hands-on experience in in-house training and inference of LLMs.

- 3+ years of experience as a Machine Learning Engineer or relevant jobs.

- 2+ years of experience in cloud development, ideally in AWS.

- Strong analytical skills and data curiosity.

- Strong collaboration skills as well as verbal and written communication skills.

- Used to start-up environments.

- Social competence and a team player.

- High energy and ambitious.

Nice to Have

- Experience in the life/health science industry, notably pharma.

- Strong theoretical knowledge of Natural Language Processing, Machine Learning, or Reinforcement Learning.

- Experience with NoSQL databases.

- Familiarity with architectural choices, particularly for ML systems.

- Leadership skills and a solid network to help in hiring and growing the team.

$170,000 - $220,000 per year.

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